Fire Source Range Localization Based on the Dynamic Optimization Method for Large-Space Buildings

This paper is concerned to the fire localization problem for large-space buildings. Two kinds of circular fire source arrangement localization methods are proposed on the basis of the dynamic optimization technology. In the Range-Point-Range frame, a dynamic optimization localization is proposed to...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Guoyong Wang [verfasserIn] Xiaoliang Feng [verfasserIn] Zhenzhong Zhang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	fire source localization dynamic optimization global information the Range-Point-Range frame the Range-Range-Range frame sensor array

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 18(2018), 6, p 1954
Übergeordnetes Werk:	volume:18 ; year:2018 ; number:6, p 1954

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s18061954

Katalog-ID:	DOAJ078999642

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520			\|a This paper is concerned to the fire localization problem for large-space buildings. Two kinds of circular fire source arrangement localization methods are proposed on the basis of the dynamic optimization technology. In the Range-Point-Range frame, a dynamic optimization localization is proposed to globally estimate the circle center of the circular arrangement to be determined based on all the point estimates of the fire source. In the Range-Range-Range frame, a dynamic optimization localization method is developed by solving a non-convex optimization problem. In this way, the circle center and the radius are obtained simultaneously. Additionally, the dynamic angle bisector method is evaluated. Finally, a simulation with three simulation scenes is provided to illustrate the effectiveness and availability of the proposed methods.
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allfields	10.3390/s18061954 doi (DE-627)DOAJ078999642 (DE-599)DOAJ104872681ea94de6b49071934fe08e99 DE-627 ger DE-627 rakwb eng TP1-1185 Guoyong Wang verfasserin aut Fire Source Range Localization Based on the Dynamic Optimization Method for Large-Space Buildings 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper is concerned to the fire localization problem for large-space buildings. Two kinds of circular fire source arrangement localization methods are proposed on the basis of the dynamic optimization technology. In the Range-Point-Range frame, a dynamic optimization localization is proposed to globally estimate the circle center of the circular arrangement to be determined based on all the point estimates of the fire source. In the Range-Range-Range frame, a dynamic optimization localization method is developed by solving a non-convex optimization problem. In this way, the circle center and the radius are obtained simultaneously. Additionally, the dynamic angle bisector method is evaluated. Finally, a simulation with three simulation scenes is provided to illustrate the effectiveness and availability of the proposed methods. fire source localization dynamic optimization global information the Range-Point-Range frame the Range-Range-Range frame sensor array Chemical technology Xiaoliang Feng verfasserin aut Zhenzhong Zhang verfasserin aut In Sensors MDPI AG, 2003 18(2018), 6, p 1954 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:18 year:2018 number:6, p 1954 https://doi.org/10.3390/s18061954 kostenfrei https://doaj.org/article/104872681ea94de6b49071934fe08e99 kostenfrei http://www.mdpi.com/1424-8220/18/6/1954 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2018 6, p 1954
spelling	10.3390/s18061954 doi (DE-627)DOAJ078999642 (DE-599)DOAJ104872681ea94de6b49071934fe08e99 DE-627 ger DE-627 rakwb eng TP1-1185 Guoyong Wang verfasserin aut Fire Source Range Localization Based on the Dynamic Optimization Method for Large-Space Buildings 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper is concerned to the fire localization problem for large-space buildings. Two kinds of circular fire source arrangement localization methods are proposed on the basis of the dynamic optimization technology. In the Range-Point-Range frame, a dynamic optimization localization is proposed to globally estimate the circle center of the circular arrangement to be determined based on all the point estimates of the fire source. In the Range-Range-Range frame, a dynamic optimization localization method is developed by solving a non-convex optimization problem. In this way, the circle center and the radius are obtained simultaneously. Additionally, the dynamic angle bisector method is evaluated. Finally, a simulation with three simulation scenes is provided to illustrate the effectiveness and availability of the proposed methods. fire source localization dynamic optimization global information the Range-Point-Range frame the Range-Range-Range frame sensor array Chemical technology Xiaoliang Feng verfasserin aut Zhenzhong Zhang verfasserin aut In Sensors MDPI AG, 2003 18(2018), 6, p 1954 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:18 year:2018 number:6, p 1954 https://doi.org/10.3390/s18061954 kostenfrei https://doaj.org/article/104872681ea94de6b49071934fe08e99 kostenfrei http://www.mdpi.com/1424-8220/18/6/1954 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2018 6, p 1954
allfields_unstemmed	10.3390/s18061954 doi (DE-627)DOAJ078999642 (DE-599)DOAJ104872681ea94de6b49071934fe08e99 DE-627 ger DE-627 rakwb eng TP1-1185 Guoyong Wang verfasserin aut Fire Source Range Localization Based on the Dynamic Optimization Method for Large-Space Buildings 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper is concerned to the fire localization problem for large-space buildings. Two kinds of circular fire source arrangement localization methods are proposed on the basis of the dynamic optimization technology. In the Range-Point-Range frame, a dynamic optimization localization is proposed to globally estimate the circle center of the circular arrangement to be determined based on all the point estimates of the fire source. In the Range-Range-Range frame, a dynamic optimization localization method is developed by solving a non-convex optimization problem. In this way, the circle center and the radius are obtained simultaneously. Additionally, the dynamic angle bisector method is evaluated. Finally, a simulation with three simulation scenes is provided to illustrate the effectiveness and availability of the proposed methods. fire source localization dynamic optimization global information the Range-Point-Range frame the Range-Range-Range frame sensor array Chemical technology Xiaoliang Feng verfasserin aut Zhenzhong Zhang verfasserin aut In Sensors MDPI AG, 2003 18(2018), 6, p 1954 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:18 year:2018 number:6, p 1954 https://doi.org/10.3390/s18061954 kostenfrei https://doaj.org/article/104872681ea94de6b49071934fe08e99 kostenfrei http://www.mdpi.com/1424-8220/18/6/1954 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2018 6, p 1954
allfieldsGer	10.3390/s18061954 doi (DE-627)DOAJ078999642 (DE-599)DOAJ104872681ea94de6b49071934fe08e99 DE-627 ger DE-627 rakwb eng TP1-1185 Guoyong Wang verfasserin aut Fire Source Range Localization Based on the Dynamic Optimization Method for Large-Space Buildings 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper is concerned to the fire localization problem for large-space buildings. Two kinds of circular fire source arrangement localization methods are proposed on the basis of the dynamic optimization technology. In the Range-Point-Range frame, a dynamic optimization localization is proposed to globally estimate the circle center of the circular arrangement to be determined based on all the point estimates of the fire source. In the Range-Range-Range frame, a dynamic optimization localization method is developed by solving a non-convex optimization problem. In this way, the circle center and the radius are obtained simultaneously. Additionally, the dynamic angle bisector method is evaluated. Finally, a simulation with three simulation scenes is provided to illustrate the effectiveness and availability of the proposed methods. fire source localization dynamic optimization global information the Range-Point-Range frame the Range-Range-Range frame sensor array Chemical technology Xiaoliang Feng verfasserin aut Zhenzhong Zhang verfasserin aut In Sensors MDPI AG, 2003 18(2018), 6, p 1954 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:18 year:2018 number:6, p 1954 https://doi.org/10.3390/s18061954 kostenfrei https://doaj.org/article/104872681ea94de6b49071934fe08e99 kostenfrei http://www.mdpi.com/1424-8220/18/6/1954 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2018 6, p 1954
allfieldsSound	10.3390/s18061954 doi (DE-627)DOAJ078999642 (DE-599)DOAJ104872681ea94de6b49071934fe08e99 DE-627 ger DE-627 rakwb eng TP1-1185 Guoyong Wang verfasserin aut Fire Source Range Localization Based on the Dynamic Optimization Method for Large-Space Buildings 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper is concerned to the fire localization problem for large-space buildings. Two kinds of circular fire source arrangement localization methods are proposed on the basis of the dynamic optimization technology. In the Range-Point-Range frame, a dynamic optimization localization is proposed to globally estimate the circle center of the circular arrangement to be determined based on all the point estimates of the fire source. In the Range-Range-Range frame, a dynamic optimization localization method is developed by solving a non-convex optimization problem. In this way, the circle center and the radius are obtained simultaneously. Additionally, the dynamic angle bisector method is evaluated. Finally, a simulation with three simulation scenes is provided to illustrate the effectiveness and availability of the proposed methods. fire source localization dynamic optimization global information the Range-Point-Range frame the Range-Range-Range frame sensor array Chemical technology Xiaoliang Feng verfasserin aut Zhenzhong Zhang verfasserin aut In Sensors MDPI AG, 2003 18(2018), 6, p 1954 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:18 year:2018 number:6, p 1954 https://doi.org/10.3390/s18061954 kostenfrei https://doaj.org/article/104872681ea94de6b49071934fe08e99 kostenfrei http://www.mdpi.com/1424-8220/18/6/1954 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2018 6, p 1954
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topic_facet	fire source localization dynamic optimization global information the Range-Point-Range frame the Range-Range-Range frame sensor array Chemical technology
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callnumber-first	T - Technology
author	Guoyong Wang
spellingShingle	Guoyong Wang misc TP1-1185 misc fire source localization misc dynamic optimization misc global information misc the Range-Point-Range frame misc the Range-Range-Range frame misc sensor array misc Chemical technology Fire Source Range Localization Based on the Dynamic Optimization Method for Large-Space Buildings
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topic_title	TP1-1185 Fire Source Range Localization Based on the Dynamic Optimization Method for Large-Space Buildings fire source localization dynamic optimization global information the Range-Point-Range frame the Range-Range-Range frame sensor array
topic	misc TP1-1185 misc fire source localization misc dynamic optimization misc global information misc the Range-Point-Range frame misc the Range-Range-Range frame misc sensor array misc Chemical technology
topic_unstemmed	misc TP1-1185 misc fire source localization misc dynamic optimization misc global information misc the Range-Point-Range frame misc the Range-Range-Range frame misc sensor array misc Chemical technology
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title	Fire Source Range Localization Based on the Dynamic Optimization Method for Large-Space Buildings
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title_sort	fire source range localization based on the dynamic optimization method for large-space buildings
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title_auth	Fire Source Range Localization Based on the Dynamic Optimization Method for Large-Space Buildings
abstract	This paper is concerned to the fire localization problem for large-space buildings. Two kinds of circular fire source arrangement localization methods are proposed on the basis of the dynamic optimization technology. In the Range-Point-Range frame, a dynamic optimization localization is proposed to globally estimate the circle center of the circular arrangement to be determined based on all the point estimates of the fire source. In the Range-Range-Range frame, a dynamic optimization localization method is developed by solving a non-convex optimization problem. In this way, the circle center and the radius are obtained simultaneously. Additionally, the dynamic angle bisector method is evaluated. Finally, a simulation with three simulation scenes is provided to illustrate the effectiveness and availability of the proposed methods.
abstractGer	This paper is concerned to the fire localization problem for large-space buildings. Two kinds of circular fire source arrangement localization methods are proposed on the basis of the dynamic optimization technology. In the Range-Point-Range frame, a dynamic optimization localization is proposed to globally estimate the circle center of the circular arrangement to be determined based on all the point estimates of the fire source. In the Range-Range-Range frame, a dynamic optimization localization method is developed by solving a non-convex optimization problem. In this way, the circle center and the radius are obtained simultaneously. Additionally, the dynamic angle bisector method is evaluated. Finally, a simulation with three simulation scenes is provided to illustrate the effectiveness and availability of the proposed methods.
abstract_unstemmed	This paper is concerned to the fire localization problem for large-space buildings. Two kinds of circular fire source arrangement localization methods are proposed on the basis of the dynamic optimization technology. In the Range-Point-Range frame, a dynamic optimization localization is proposed to globally estimate the circle center of the circular arrangement to be determined based on all the point estimates of the fire source. In the Range-Range-Range frame, a dynamic optimization localization method is developed by solving a non-convex optimization problem. In this way, the circle center and the radius are obtained simultaneously. Additionally, the dynamic angle bisector method is evaluated. Finally, a simulation with three simulation scenes is provided to illustrate the effectiveness and availability of the proposed methods.
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title_short	Fire Source Range Localization Based on the Dynamic Optimization Method for Large-Space Buildings
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Fire Source Range Localization Based on the Dynamic Optimization Method for Large-Space Buildings

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